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Inequality among people involves comparisons of social indicators such as income, health, education and so on. In recent years the number of studies both theoretical and empirical which take into account not only the individual’s income but also these other attributes has significantly...
Persistent link: https://www.econbiz.de/10005413398
Foster and Shneyerov (2000) explore an additive decomposition property for inequality measures that they call path independent decomposition. They characterise the class of measures that have this property. Taking their results as a reference, we seek here to generalise the notion of...
Persistent link: https://www.econbiz.de/10005688061
In this article we explore an alternative factorial decomposition for Atkinson indices and taking Sala-i-Martin's (2002) article “The Disturbing ''Rise'' of Global Income Inequality” as a reference, the possibilities of Atkinson indices are shown in regard to completing and detailing...
Persistent link: https://www.econbiz.de/10010629403
This paper aims to explore properties that guarantee that multidimensional poverty indices are sensitive to the distribution among the poor, one of the basic features of a poverty index. We introduce a generalization of the monotonicity sensitivity axiom which demands that, in the...
Persistent link: https://www.econbiz.de/10008852118
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In the literature there are a number of generalizations of the Gini coefficient which inherit most of its appealing properties. These families allow the incorporation of different value judgments and all of them are more sensitive to transfers among the poorest individuals in society than to...
Persistent link: https://www.econbiz.de/10004991798
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This note extends the standard kernel density estimator to the case of weighted samples in several ways. In the first place I consider the obvious extension by substituting the simple sum in the definition of the estimator by a weighted sum, but I also consider other alternatives of introducing...
Persistent link: https://www.econbiz.de/10005613017